Our earlier work for fast evaluation of power consumption of general cores in a system-on-a-chip described techniques that involved isolating high-level instructions of a core, me...
Abstract. We present a fast resampling scheme using vector quantization. Our method di ers from prior work applying vector quantization to speeding up image and volume processing i...
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
In this paper, an efficient simulation environment that utilizes compiler techniques to speed up simulation is presented. The method is based on the utilization of flexible, proce...
The paper evaluates the eectiveness of learning for speeding up the solution of constraint satisfaction problems. It extends previous work (Dechter 1990) by introducing a new and ...